Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 103 for “"Non-normal"”.
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A non-normal form database interface
Typescript (photocopy).
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Fatigue analysis for non-normal stochastic stress
… the fatigue damage predicted for Gaussian and nongaussian processes when both are analyzed by the rainflow counting method. Due to a lack of references on nongaussian process simulation, some initial effort is devoted to finding a simple way of generating nongaussian processes. In this study, …
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Linear Mixed Models With Non-Normal Distributions
Linear mixed models based on the normality assumption are widely used in health related studies. Although the normality assumption leads to simple, mathematically tractable, and powerful tests, violation of the assumption may easily invalidate the statistical inference. In this dissertation, we …
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Higher Rank Numerical Ranges for Certain Non-Normal Matrices
… of higher rank numerical ranges for certain non-normal matrices, namely direct sums of Jordan blocks, and direct sums of the form (Jordan Block plus scalar multiple of the identity). The higher rank numerical range of a normal matrix is well-understood, but little is known in general, other …
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Corresponding Residue Systems in Non-Normal Extensions of Prime Degree
Made available in DSpace on 2014-12-11T18:23:36Z (GMT). No. of bitstreams: 1 7114680.pdf: 1603430 bytes, checksum: a03fac0e4dd5591e2e585851f693aca7 (MD5) Previous issue date: 1970
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Estimation of Correlation Confidence Intervals via the Bootstrap: Non-Normal Distributions
… of the correlation being bound by-1≤ρ≤1. The nonparametric nature of the bootstrap makes it a good option for estimating correlation CIs. However, there have been mixed results about the robustness of bootstrap CIs for the correlation with non normal data. This had led the literature to …
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A multivariate GARCH model for the non-normal behaviour of financial assets
This thesis extends the dynamic conditional correlation (DCC) model proposed in Engle (2002) to the case of conditional returns supposed to follow an asymmetric multivariate Laplace (AML) distribution as presented in Kotz, Kozubowsky and Podgorski (2003). We prove that maximum likelihood estimator …
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A study of the effect of non-normal distributions upon simple linear regression
LD2668 .T4 1966 W635
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A comparison of the effects of non-normal distributions on tests of equivalence
… behavioral and social sciences is comprised of non-normally distributed data, it is important that researchers be aware of the effects of non-normal distributions on the probability of detecting equivalence between populations.</p> <p>The present study examined the effects and management of …
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Type Ii Robustness Of The Null Hypothesis Rho = 0 For Non-Normal Distributions
<p>Is the t test statistic for the Pearson Product Moment Correlation Coefficient robust to errors of the second kind? This investigation indirectly measured the effects of power through a type 2 error rate robustness study. The results were revealing.</p>
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Simulation Study on Confidence Interval Estimation for Standard Deviation with Non-Normal Distributions
… for the population standard deviation, σ, in non-normal data scenarios. While the sample standard deviation, s, is widely used, its reliability is compromised when dealing with skewed or heavy-tailed distributions and exhibits sensitivity to outliers. Our research addresses these limitations …
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A study on improving the performance of control charts under non-normal distributions
… and that the monitoring statistic follows a normal distribution. While the normality assumption is invalid in many cases, the traditional 3-sigma limits may become inappropriate. In this thesis, we have raised two approaches to solve the non-normality problem. The first approach is based on …
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On the Computation of Invariants in non-Normal, non-Pure Cubic Fields and in Their Normal Closures
… of a rational integer, we call the field K a non-pure cubic field, and if K doesn't contain the conjugates of theta, we call K a non-normal cubic field. A method described by Martinet and Payan allows us to construct such fields from elements of a quadratic field. In this work, we examine such …
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The applicability of discriminant analysis techniques on the multivariate normal and non-normal data types in marketing research.
The purpose of the procedures described is to assign “objects” or "observations" in some optimum fashion to one of two or more populations. In routine banking a bank manager may wish to classify clients who wish to make loans as low or high credit risks on the basis of the elements of certain …
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Investigation of non-normal incidence charged-particle response of CR39 nuclear track detectors, with applications in nuclear diagnostics for inertial confinement fusion
… CR39's detection efficiency for protons at non-normal incidence to CR39 detectors. We specifically study protons resulting from D-D fusion reactions with incident angles up to 50 degrees. Understanding the CR39 response to charged particles at an angle is essential to designing a D-D neutron …
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A Comparison of Methods for Generating Bivariate Non-normally Distributed Random Variables
… of multivariate data in the real world follow a non-normal model with distributions being skewed and/or heavy tailed. In studies in which multivariate non-normal distributions are needed, it is important for simulations of those variables to provide data that is close to the desired parameters …
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Simulating Univariate and Multivariate Burr Type III and Type XII Distributions Through the Method of L-Moments
… of statistical modeling and for simulating non-normal distributions with moment-based parameters (e.g., Skew and Kurtosis). In educational and psychological studies, the Burr families of distributions can be used to simulate extremely asymmetrical and heavy-tailed non-normal distributions. …
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Statistical process control by quantile approach.
… form of data it uses; usually that the data is normally distributed. It is common place to find processes that generate data which is non-normally distributed, e.g. Weibull, logistic or mixture data is increasingly encountered. Any method that seeks to avoid the use of transformation for …
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An investigation of the validity of auditing procedures used in mean-per-unit sampling plans
… the alpha and beta risks under conditions of non-normality. This study concerns the effect of non-normal distributions on the validity of existing auditing procedures used in MPU sampling plans. The following question was specifically addressed: Are alpha and beta risk levels effectively …
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